Specific Antibiotics Increase the Risk of Flare-Ups in Patients with Inflammatory Bowel Disease: Results from a Danish Nationwide Population-Based Nested Case-Control Study.

Bobby Lo, Luc Biederman, Gerhard Rogler, Barbara Dora, Andrea Kreienbühl, Ida Vind, Flemming Bendtsen, Johan Burisch
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Abstract

Introduction: Inflammatory bowel disease [IBD] patients have a relapsing-remitting disease course, and amongst environmental factors that aggravate the disease course, common drugs aside from non-steroidal anti-inflammatory drugs have not been studied in detail. While the microbiome is considered to play a significant role on the disease course, the impact of antibiotics is poorly understood. This study investigated the potential impact of different classes of antibiotics on the course of disease in IBD using the Danish National Patient Registry.

Methods: Danish IBD patients were studied using two nested case-control cohorts exploring associations between antibiotic types and IBD flare-ups, defined as IBD-related hospitalizations and/or high-dose systemic steroid exposure. Multivariate logistic regression and eXtreme Gradient Boosted decision tree [GBDT] machine learning methods evaluated antibiotic risks.

Results: Two cohorts with 15 636 and 5178 patients were analysed for risk of hospitalization and course of steroids, respectively. The risk of a flare-up was significantly increased with antecedent exposure to quinolones (ATC:J01M; odds ratio [OR]: 3.04-3.82), antimycotics [ATC:J02A; OR: 1.50-2.30], agents against amoebiasis and protozoal infections [ATC:P01A; OR: 1.95-3.18], intestinal anti-infectives [ATC:A07A; OR: 2.09-2.32], and beta-lactam antibiotics [ATC:J01C; OR: 1.36]. The GBDT models achieved an area under the curve of 0.71-0.85 for predicting flare-ups, with the same above-mentioned antibiotics being in the ten most important variables.

Conclusion: We found distinctive antibiotics to be significantly associated with an increased risk of IBD flare-ups. Our findings are corroborated by our GBDT machine learning models. Healthcare providers should be aware of the deleterious potential of specific antibiotic groups in patients with IBD only using these agents in a restrictive manner or preferentially consider alternative antibiotic groups.

特定抗生素会增加炎症性肠病患者病情复发的风险--一项基于丹麦全国人口的巢式病例对照研究的结果。
简介IBD 患者的病程为复发性-缓解性,在加重病程的环境因素中,除非甾体抗炎药外,对常见药物的研究并不详细。虽然微生物组被认为对病程起着重要作用,但人们对抗生素的影响却知之甚少。本研究利用丹麦国家患者登记处调查了不同种类的抗生素对 IBD 病程的潜在影响:通过两个巢式病例对照队列对丹麦 IBD 患者进行了研究,探讨抗生素类型与 IBD 爆发(定义为 IBD 相关住院和/或大剂量系统性类固醇暴露)之间的关系。多变量逻辑回归和极端梯度提升决策树(GBDT)机器学习方法评估了抗生素风险:结果:对两个队列中的 15636 名和 5178 名患者分别进行了住院风险和类固醇疗程的分析。GBDT模型预测疾病复发的AUC值介于0.71-0.85之间,上述抗生素同样是10个最重要的变量:结论:我们发现独特的抗生素与 IBD 复发风险的增加密切相关。我们的研究结果得到了 GBDT 机器学习模型的证实。医疗服务提供者应认识到特定抗生素组对 IBD 患者的潜在危害,只能以限制性方式使用这些药物,或优先考虑使用其他抗生素组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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